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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 18194
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    Explanations

    keywords in code snippets, specifically relating to parentheses and brackets

    oai_token-act-pair · gpt-3.5-turbo

    arithmetical or mathematical expressions in parentheses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Gors
    -0.74
     Scientology
    -0.72
     journalism
    -0.71
     Vie
    -0.68
    ullivan
    -0.66
     Bever
    -0.65
     ABV
    -0.65
     Tuls
    -0.65
     soaring
    -0.64
     patriotic
    -0.63
    POSITIVE LOGITS
    lambda
    1.22
    require
    1.21
    define
    1.13
    eq
    1.10
    SELECT
    1.07
    ++)
    1.06
    cond
    1.03
    partial
    1.00
    fn
    1.00
    maybe
    1.00
    Activations Density 0.031%

    No Known Activations